期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：9
页码：14187-14193
DOI：10.18535/ijecs/v4i9.20
出版社：IJECS
摘要：Mammogram is measured the most consistent method for early detection of breast cancer. Computer-aideddiagnosis system is also able to support radiologist to detect abnormalities earlier and more rapidly. In this paper theperformance evaluation of the computer aided diagnostic system for the classification of mass classification in digitalmammogram based on Discrete Wavelet Transform (DWT), Stochastic Neighbor Embedding (SNE) and the SupportVector Machine (SVM) is presented. This proposed system classifies the mammogram images into normal or abnormal,and the abnormal severity into benign or malignant. Mammography Image Analysis society (MIAS) database is used toevaluate the proposed system. The average classification rate achieved is satisfied
